Podcasts

𝗕𝗼𝗮𝗿𝗱𝘀 𝗸𝗲𝗲𝗽 𝘁𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗔𝗜 𝗹𝗶𝗸𝗲 𝗮 𝗽𝗿𝗼𝗰𝘂𝗿𝗲𝗺𝗲𝗻𝘁 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻. Which vendor. Which model. Which line item. It is 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗲𝘅𝗽𝗲𝗻𝘀𝗶𝘃𝗲 𝗰𝗮𝘁𝗲𝗴𝗼𝗿𝘆 𝗲𝗿𝗿𝗼𝗿 in enterprise technology right now. The perspicacious leaders ask something else entirely. Not what to buy, but what gets decided faster, and by whom, once they own it. I put five questions to a leadership team before a single dollar moves. → 𝗢𝘄𝗻𝗲𝗿𝘀𝗵𝗶𝗽 → 𝗧𝗵𝗲 𝗳𝗶𝗻𝗶𝘀𝗵 𝗹𝗶𝗻𝗲 → 𝗧𝗵𝗲 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝘂𝗻𝗱𝗲𝗿𝗻𝗲𝗮𝘁𝗵 → 𝗧𝗵𝗲 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗴𝗮𝗽 → And the fifth, which usually stops the room The fifth: 𝘄𝗵𝗮𝘁 𝘀𝘁𝗮𝘆𝘀 𝗱𝗲𝗳𝗲𝗻𝘀𝗶𝗯𝗹𝘆 𝘆𝗼𝘂𝗿𝘀 𝗼𝗻𝗰𝗲 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲 𝗵𝗮𝘀 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗺𝗼𝗱𝗲𝗹𝘀. The organizations compounding real gains cleared all five before deployment. The ones stalled at pilot 𝗯𝗼𝘂𝗴𝗵𝘁 𝗳𝗶𝗿𝘀𝘁 𝗮𝗻𝗱 𝗮𝘀𝗸𝗲𝗱 𝗹𝗮𝘁𝗲𝗿. 𝗪𝗵𝗶𝗰𝗵 𝗼𝗳 𝘁𝗵𝗲 𝗳𝗶𝘃𝗲 𝘄𝗼𝘂𝗹𝗱 𝘀𝘁𝗮𝗹𝗹 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺? Curious what you would say. #AI #ArtificialIntelligence #Leadership #DigitalTransformation #Innovation #FutureOfWork #Technology #BusinessStrategy #CEO #CIO #CTO #BoardOfDirectors #ExecutiveLeadership #CSuite #Governance #ChangeManagement Parinamas
AI is not a tool #ai #aiagents #enterprise
Chinese AI models like Qwen and Kimi (Moonshot AI) are rapidly closing the gap with U.S. frontier models Anthropic OpenAI particularly on #token pricing, #accessibility, and developer adoption. Competition should push us to innovate faster, not restrict access. If the response to lower-cost, high-performing models is to limit their availability rather than out-innovate them, we risk slowing #AI adoption across enterprises. Businesses benefit when they have access to the best models at the best price, allowing them to build smarter applications faster and more economically. The AI race won't be won through #protectionism. It will be won through better research, better products, and relentless innovation. #Myview: keep markets open, ensure fair competition, and let the best technology win. Parinamas #AI #ArtificialIntelligence #GenerativeAI #Innovation #EnterpriseAI #OpenInnovation
Moonshots Kimi K3 has shaken the US frontier models #aiagents #ai #aigovernance #news
Everyone is talking about building #AIagents. Almost no one is talking about #governing them. Here's the uncomfortable reality: 35% of organizations can't shut down a rogue AI agent. Think about that for a second. We're deploying AI agents that can: • Access enterprise systems • Make business decisions • Trigger workflows • Interact with customers • Execute tasks autonomously Yet many organizations still can't answer five simple questions: ✓ What AI agents are running? ✓ Who approved them? ✓ What systems can they access? ✓ How are they being monitored? ✓ How do we shut them down if something goes wrong? This isn't an AI problem. It's a #governance problem. We spent decades building governance for employees, applications, and infrastructure. AI agents deserve the same level of oversight. The organizations that win won't be the ones with the most AI agents. They'll be the ones that can deploy them confidently because governance is built into every stage—from deployment and permissions to monitoring, compliance, and control. As AI agents become part of every enterprise, governance won't slow innovation. It will enable it. How is your organization preparing for AI agent governance? #AI #AIAgents #AIGovernance #EnterpriseAI #DigitalTransformation #CIO #Innovation #ArtificialIntelligence
Ai Agents require -Build, govern and evolve
Most companies are still talking about the art of the possible. Kyndryl is shipping it. In this episode of GOT AI?, Nahel Gandhi sits down with Mo, who drives digital transformation across procurement, COO, and IT asset management at Kyndryl, the IBM spinoff that manages roughly half the mainframes on Earth, 400 data centers, and billions in assets for the world's largest banks, insurers, and utilities. We get past the buzzwords into how AI actually gets deployed at enterprise scale: mining and rationalizing 160 processes down to 80 before automating anything, building recommendation engines that optimize mainframe workloads, and standing up continuous controls testing so audits run daily instead of by sample. Mo also makes the case that the line between technologist and business leader is gone, that there is no excuse left for going from idea to production slowly, and that the Midwest is quietly becoming an AI nerve center. In this episode: Why you start with the business outcome and work backwards, every time How process mining and rationalization come before any AI build Vibe coding, Lovable, and Claude Code: why you no longer need to be a developer to build Data sovereignty and resiliency as the real enterprise AI battleground Change management, layoff anxiety, and why disruption acts as a catalyst Chicago and the Midwest as an emerging AI hub Favorite tools right now: Claude, Manus, KimiK, and the rise of the AI twin
Why "I'm Just a Tech Guy" Is Dead | Kyndryl's Mo on AI, Vibe Coding, and Outcomes
In this episode of Got AI, Nahel sits down with Nate Carson from UberAI Solutions — the AI and machine learning division born inside Uber. Most people know Uber for rides, food delivery, and logistics. But behind the scenes, Uber built sophisticated AI infrastructure powering everything from localization and translation to machine learning systems and large-scale operational intelligence. Now, UberAI Solutions is bringing those capabilities to external clients across autonomous vehicles, foundation model labs, and major technology companies. In this conversation, we explore: • How UberAI evolved from an internal AI team into a commercial AI business • The future of training data and AI infrastructure • Autonomous vehicles and real-world data collection • Data annotation at global scale • AI operations behind localization and translation systems • The growing demand for high-quality AI datasets • What enterprise AI adoption really looks like If you're interested in AI, machine learning, autonomous systems, enterprise transformation, or the future of intelligent infrastructure — this episode is for you. Subscribe for more conversations with innovators, founders, and AI leaders shaping the future. #AI #Uber #MachineLearning #ArtificialIntelligence #AutonomousVehicles #GenerativeAI #DataAnnotation #EnterpriseAI #FutureOfWork #techpodcast 00:00 Introduction 00:45 Meet Nate Carson from UberAI Solutions 02:10 How Uber built its internal AI capabilities 04:25 From rideshare company to AI infrastructure powerhouse 06:40 AI tools powering Uber’s ecosystem 08:15 Localization, translation & machine learning at scale 10:30 Working with AV and foundation model companies 13:00 Training data and global data collection 15:20 Why data annotation matters for AI 17:40 Enterprise demand for AI services 20:00 The future of AI infrastructure
Inside Uber’s AI Machine: How UberAI Is Powering the Future
What are the most popular models out there
AI tips and tricks series
AI, Physical AI & Human Flourishing: A Conversation with Brennan from MHub Join us for an in-depth conversation with Brennan, Director of Strategic Partnerships at MHub, as we explore the intersection of AI, physical AI, and what it means for human flourishing in business and beyond. From autonomous vehicles at Uber to micro-mobility and now leading innovation partnerships in manufacturing and hard tech, Brennan brings a unique perspective on how AI is transforming both the digital and physical worlds. In This Episode: The reality of AI adoption in 2025-2026: What's actually working vs. the hype Why most companies are getting AI implementation wrong (and how to fix it) Physical AI explained: It's not just humanoids The future of robotics: Why task-specific robots beat humanoids Three critical trends every business leader needs to know Real talk about data, experimentation, and driving actual business value Key Timestamps: 0:00 - Introduction & Brennan's Background 5:30 - From Finance to Tech: KPMG, Uber, and Jump Bikes 12:45 - Is AI a Bubble? Private vs. Public Market Reality 18:20 - Enterprise AI Adoption: 2025 vs. 2026 25:10 - The Problem with Risk-Based vs. Value-Based AI Strategy 32:40 - What is Physical AI? Beyond the Buzzwords 40:15 - Computer Vision & Real-World Applications 45:30 - The Truth About Humanoid Robots 52:00 - Three Trends That Matter: Experimentation, Data, Customer Value Connect with MHub: mhubchicago.com Mentioned in This Episode: Waymo, Tesla Optimus, iRobot Jasper AI, Mad Robots, Fluid Reality Northwestern's Dexterity Research #AI #PhysicalAI #Robotics #Innovation #Manufacturing #EnterpriseAI #HumanFlourishing #Technology #MHub #AIStrategy #ComputerVision #AutonomousVehicles #BusinessInnovation #TechLeadership
GOT AI: A Conversation with Brennan from MHub
GPT-5 isn’t just smarter — it’s a game-changer. Imagine an AI that decides the best model for your task, manages your calendar, writes legal documents, challenges your thinking, and learns alongside you. In this episode, we break down GPT-5 in plain language — from how it acts like a PhD-level partner, to why it’s the ultimate equalizer in education, business, and creativity. We talk real-world use cases, the “AI-written” proposal controversy, and why this tech will push everyone — students, professionals, and even coders — to level up. Whether you’re curious, skeptical, or already using AI daily, this deep dive will change how you think about the future. Timestamps: 0:00 – Why GPT-5 Feels Like a PhD in Your Pocket 4:15 – The AI That Builds AI 8:30 – Real-World Scenarios & Agent Capabilities 14:05 – The Proposal Controversy: AI Bias in Action 20:45 – Challenging AI vs. Using It as a Crutch 27:00 – The Equalizer: Education, Skills, and Access 33:15 – From Coding to Creativity Without Barriers 39:10 – GPT-5 for Corporate Training & Micro-Learning
GPT-5: The PhD-Level AI That Builds AI (And Changes Everything)
Starting at 5:20: AI transforms how we search, discover, and engage with information, one big question emerges: Is SEO becoming obsolete? In this episode, Jerry and Nail dive into the evolving world of AI-powered search — from Google's shift toward AI-generated answers to how platforms like ChatGPT, Gemini, Claude, and Perplexity are reshaping the user journey. Key Topics: Why Google’s traditional SEO is in decline How AI is replacing keyword search with conversational discovery The rise of “zero-click” results and what that means for marketers Why creating agents may replace building websites The future of intelligent search agents talking to each other Why brands must rethink their digital presence for the AI-first world Whether you’re in marketing, tech, business strategy — or just a curious mind — this conversation unpacks where SEO is heading, and how agents (not pages) may become your new front door. Drop your thoughts in the comments. Subscribe and stay with us on the journey through AI, tech, and what comes next. #SEO #AIsearch #ChatGPT #GoogleAI #DigitalMarketing #AIagents #TheNewAgeMagellans #FutureOfSearch #Web3 #AIUX #ConversationalSearch Nahel Gandhi - https://www.linkedin.com/in/nahelgandhi/ Jerry Quandt -https://www.linkedin.com/in/jerryquandt/
Episode 8 - part 2 Is SEO Dead? The Rise of AI Search & the Future of Digital Discovery
Subscribe